Monitor call quality and patient satisfaction. Manage providers and schedules across multiple waiting rooms. VSee Clinic works best on Chrome. Android: "Desktop site" option must be turned off under the Chrome menu. Through focused collaborations, Intel Builders members accelerate optimized solutions to market and deliver tools and documentation to speed solution deployments. Learn how a robust ecosystem of leading systems and software solutions partners are working together to drive the future of data center innovation.
Internet Download Manager. WinRAR bit. VLC Media Player. MacX YouTube Downloader. Microsoft Office YTD Video Downloader. Adobe Photoshop CC. VirtualDJ VSee has enhanced our services by providing a very straightforward and easy-to-use virtual visit system for patients and staff alike. From planning to implementation, we did not need to involve any outside IT people to install and or to use VSee — that was a big advantage.
The VSee customer service and technical support has been great, and it has been a pleasure to work with all of them.. Our idea was to build a platform that was flexible in its application, and easy to use.
Not only is our telehealth team happy with the results, but the nurses have already expressed improvement in usability. Please note that the camera needs to be reenabled every time you start VSeeFace unless the option to keep it enabled is enabled. This option can be found in the advanced settings section. It uses paid assets from the Unity asset store that cannot be freely redistributed. However, the actual face tracking and avatar animation code is open source.
You can find it here and here. You can try something like this:. VRoid 1. You can configure it in Unity instead, as described in this video. The virtual camera can be used to use VSeeFace for teleconferences, Discord calls and similar. It can also be used in situations where using a game capture is not possible or very slow, due to specific laptop hardware setups.
To use the virtual camera, you have to enable it in the General settings. For performance reasons, it is disabled again after closing the program. Starting with version 1.
When using it for the first time, you first have to install the camera driver by clicking the installation button in the virtual camera section of the General settings. This should open an UAC prompt asking for permission to make changes to your computer, which is required to set up the virtual camera.
If no such prompt appears and the installation fails, starting VSeeFace with administrator permissions may fix this, but it is not generally recommended. After a successful installation, the button will change to an uninstall button that allows you to remove the virtual camera from your system.
After installation, it should appear as a regular webcam. The virtual camera only supports the resolution x Changing the window size will most likely lead to undesirable results, so it is recommended that the Allow window resizing option be disabled while using the virtual camera. The virtual camera supports loading background images, which can be useful for vtuber collabs over discord calls, by setting a unicolored background.
Should you encounter strange issues with with the virtual camera and have previously used it with a version of VSeeFace earlier than 1. If supported by the capture program, the virtual camera can be used to output video with alpha transparency. To make use of this, a fully transparent PNG needs to be loaded as the background image. Partially transparent backgrounds are supported as well. Please note that using partially transparent background images with a capture program that do not support RGBA webcams can lead to color errors.
Apparently, the Twitch video capturing app supports it by default. The important settings are:. As the virtual camera keeps running even while the UI is shown, using it instead of a game capture can be useful if you often make changes to settings during a stream. It is possible to perform the face tracking on a separate PC.
This can, for example, help reduce CPU load. This process is a bit advanced and requires some general knowledge about the use of commandline programs and batch files. Inside this folder is a file called run. Running this file will open first ask for some information to set up the camera and then run the tracker process that is usually run in the background of VSeeFace. If you entered the correct information, it will show an image of the camera feed with overlaid tracking points, so do not run it while streaming your desktop.
This can also be useful to figure out issues with the camera or tracking in general. The tracker can be stopped with the q , while the image display window is active. To use it for network tracking, edit the run. If you would like to disable the webcam image display, you can change -v 3 to -v 0. When starting this modified file, in addition to the camera information, you will also have to enter the local network IP address of the PC A.
When no tracker process is running, the avatar in VSeeFace will simply not move. Press the start button. If you are sure that the camera number will not change and know a bit about batch files, you can also modify the batch file to remove the interactive input and just hard code the values. You can set up VSeeFace to recognize your facial expressions and automatically trigger VRM blendshape clips in response.
There are two different modes that can be selected in the General settings. This mode is easy to use, but it is limited to the Fun , Angry and Surprised expressions. Simply enable it and it should work. There are two sliders at the bottom of the General settings that can be used to adjust how it works. To trigger the Fun expression, smile, moving the corners of your mouth upwards.
To trigger the Angry expression, do not smile and move your eyebrows down. To trigger the Surprised expression, move your eyebrows up. To use it, you first have to teach the program how your face will look for each expression, which can be tricky and take a bit of time.
The following video will explain the process:. When the Calibrate button is pressed, most of the recorded data is used to train a detection system. The rest of the data will be used to verify the accuracy. This will result in a number between 0 everything was misdetected and 1 everything was detected correctly and is displayed above the calibration button.
A good rule of thumb is to aim for a value between 0. While this might be unexpected, a value of 1 or very close to 1 is not actually a good thing and usually indicates that you need to record more data. A value significantly below 0. If this happens, either reload your last saved calibration or restart from the beginning. It is also possible to set up only a few of the possible expressions.
This usually improves detection accuracy. However, make sure to always set up the Neutral expression. This expression should contain any kind of expression that should not as one of the other expressions. To remove an already set up expression, press the corresponding Clear button and then Calibrate. Having an expression detection setup loaded can increase the startup time of VSeeFace even if expression detection is disabled or set to simple mode. To avoid this, press the Clear calibration button, which will clear out all calibration data and preventing it from being loaded at startup.
You can always load your detection setup again using the Load calibration button. VSeeFace both supports sending and receiving motion data humanoid bone rotations, root offset, blendshape values using the VMC protocol introduced by Virtual Motion Capture.
If both sending and receiving are enabled, sending will be done after received data has been applied. In this case, make sure that VSeeFace is not sending data to itself, i. When receiving motion data, VSeeFace can additionally perform its own tracking and apply it. If only Track fingers and Track hands to shoulders are enabled, the Leap Motion tracking will be applied, but camera tracking will remain disabled.
If any of the other options are enabled, camera based tracking will be enabled and the selected parts of it will be applied to the avatar. Please note that received blendshape data will not be used for expression detection and that, if received blendshapes are applied to a model, triggering expressions via hotkeys will not work.
You can find a list of applications with support for the VMC protocol here. This video by Suvidriel explains how to set this up with Virtual Motion Capture. Using the prepared Unity project and scene , pose data will be sent over VMC protocol while the scene is being played. If an animator is added to the model in the scene, the animation will be transmitted, otherwise it can be posed manually as well. For best results, it is recommended to use the same models in both VSeeFace and the Unity scene.
Perfect sync blendshape information and tracking data can be received from the iFacialMocap and FaceMotion3D applications. For this to work properly, it is necessary for the avatar to have the necessary 52 ARKit blendshapes. The avatar should now move according to the received data, according to the settings below. You should see the packet counter counting up. If the packet counter does not count up, data is not being received at all, indicating a network or firewall issue.
Certain iPhone apps like Waidayo can send perfect sync blendshape information over the VMC protocol, which VSeeFace can receive, allowing you to use iPhone based face tracking. This requires an especially prepared avatar containing the necessary blendshapes. A list of these blendshapes can be found here. You can find an example avatar containing the necessary blendshapes here. Enabling all over options except Track face features as well, will apply the usual head tracking and body movements, which may allow more freedom of movement than just the iPhone tracking on its own.
If the tracking remains on, this may be caused by expression detection being enabled. In this case, additionally set the expression detection setting to none.
A full Japanese guide can be found here. The following gives a short English language summary. You can do this by dragging in the. It should now get imported. To do so, load this project into Unity Unity should import it automatically. You can then delete the included Vita model from the the scene and add your own avatar by dragging it into the Hierarchy section on the left.
You can now start the Neuron software and set it up for transmitting BVH data on port
0コメント